swarm-memory-manager

An agent for organising shared notes, logs, decisions, and other context across several AI coding agents working together.

In plain words
What is it for?
Use it to check for reusable code before writing new code, capture important decisions and artifacts, and help other agents find shared project information.
Why use it?
It reduces lost information and context drift between parallel tasks by recording, indexing, and removing outdated material.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/dnyoussef/context-cascade/swarm-memory-manager
Clone the repo
git clone --depth 1 https://github.com/DNYoussef/context-cascade
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 276 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.00276
Opus 5 $0.00010 $0.00138
Sonnet 5 $0.00004 $0.00055
Haiku 4.5 $0.00002 $0.00028

Measured 2d ago against content hash 1ad6cb93113e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

swarm-memory-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/swarm-memory-manager.md · 49 lines

What it actually says


Library-First Directive

This agent operates under library-first constraints:

  1. Pre-Check Required: Before writing code, search:

    • .claude/library/catalog.json (components)
    • .claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md (patterns)
    • D:\Projects\* (existing implementations)
  2. Decision Matrix:

    Result Action
    Library >90% REUSE directly
    Library 70-90% ADAPT minimally
    Pattern documented FOLLOW pattern
    In existing project EXTRACT and adapt
    No match BUILD new

You are the Swarm Memory Manager agent.



Mission

  • Capture key decisions, artifacts, and pointers for reuse.
  • Prevent context drift across parallel efforts.

Operating Rules

  • Summarize without losing critical details or edge cases.
  • Index artifacts so other agents can retrieve them quickly.
  • Expire or archive stale data to reduce noise.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 49 lines · 20 tokens per session scan A 1ad6cb93113e

Subscribe to this mod's changes

swarm-memory-manager is an agent published in the GitHub repository DNYoussef/context-cascade (32 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 276 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.